Mohammad
Feli
Doctoral Researcher, Health Technology
Doctoral Researcher, Department of Computing
Contact
Links
Areas of expertise
Digital Health
Data Analytics
Machine Learning
Bio-signal Processing
Research
My research focuses on investigating biomedical signals and health data using data analysis, machine learning, and biosignal processing methods for Internet-of-Things-based healthcare applications.
Publications
Circadian rhythm of heart rate and heart rate variability in pregnancy (2025)
npj Women's Health
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
An LLM-Powered Agent for Physiological Data Analysis: A Case Study on PPG-based Heart Rate Estimation (2025)
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
Multitask learning approach for PPG applications: Case studies on signal quality assessment and physiological parameters estimation (2025)
Computers in Biology and Medicine
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
A Novel Wearable-Based Fetal Movement Localization System Using Machine Learning (2025)
Proceedings of IEEE Sensors
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
Preterm birth risk stratification through longitudinal heart rate and HRV monitoring in daily life (2024)
Scientific Reports
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach (2023)
International Conference on Body Sensor Networks, Body Sensor Networks Conference
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
An energy-efficient semi-supervised approach for on-device photoplethysmogram signal quality assessment (2023)
Smart Health
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction (2023)
IEEE International Conference on Bioinformatics and Biomedicine, Proceedings (IEEE International Conference on Bioinformatics and Biomedicine)
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring (2023)
Symposium on Applied Computing
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
A novel recursive backtracking genetic programming-based algorithm for 12-lead ECG compression (2019)
Signal, Image and Video Processing
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))